# Install mmseqs2 with Homebrew, apt, Nix

Software suite for very fast sequence search and clustering. Version 18-8cc5c via Homebrew; verified from local package data.

## Install

```sh
sudo av install brew:mmseqs2
```

Additional install commands:

### macOS

- Homebrew (100%):

```sh
brew install mmseqs2
```

  Evidence: local Homebrew formula metadata

### Linux

- Debian apt (92%):

```sh
sudo apt install mmseqs2
```

  Evidence: Debian stable package indexes: mmseqs2 from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz

- Nix (92%):

```sh
nix profile install nixpkgs#mmseqs2
```

  Evidence: nixpkgs package indexes: pkgs/by-name/mm/mmseqs2/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1

## Package facts

- **Package key:** brew:mmseqs2
- **Package manager:** Homebrew
- **Package manager page:** <https://formulae.brew.sh/formula/mmseqs2>
- **Version:** 18-8cc5c
- **Source summary:** Software suite for very fast sequence search and clustering
- **Homepage:** <https://mmseqs.com/>
- **Repository:** <https://github.com/soedinglab/MMseqs2>
- **Upstream docs:** <https://github.com/soedinglab/MMseqs2/blob/master/README.md>
- **License:** MIT
- **Source archive:** <https://github.com/soedinglab/MMseqs2/archive/refs/tags/18-8cc5c.tar.gz>
- **Generated:** 2026-07-08T07:18:31+00:00

## Executables

- mmseqs (cli)
- mmseqs (alias)

## Dependencies

- libomp
- wget

## Build dependencies

- cmake

## Uses from macOS

- bzip2

## Install behavior

- Post-install hook: not defined
- Bottle: available on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux

## Freshness

- Page generated: 2026-07-08
- Package-manager version: 18-8cc5c
- Local data: ok
- Upstream repository: https://github.com/soedinglab/MMseqs2
- info: No package-manager update timestamp was available.
- info: No cached GitHub release or tag data was available.
## Project history and usage

MMseqs2, short for Many-against-Many sequence searching, is a bioinformatics suite from Martin Steinegger, Johannes Soding, and collaborators for searching and clustering very large protein and nucleotide sequence sets. The project README describes it as open-source C++ software for Linux, macOS, and Windows via Cygwin, built for multicore and multi-server scalability. Its 2017 Nature Biotechnology paper introduced MMseqs2 as a sensitive protein sequence search tool for massive datasets, and the project documentation frames it as much faster than BLAST while preserving high sensitivity at practical search settings.

### Project history

Its major technical milestones followed the growth of public sequence databases. The 2018 Nature Communications Linclust paper integrated a linear-time clustering workflow into MMseqs2, demonstrating clustering of 1.6 billion metagenomic protein fragments in 10 hours on a single server and showing why quadratic or near-quadratic approaches such as CD-HIT and UCLUST struggled at that scale. A 2019 Bioinformatics paper expanded the ecosystem with an MMseqs2 desktop and local web-server app for interactive searches through custom protein sequence and profile databases, reducing query overhead and exposing MMseqs2 to users outside command-line-only workflows.

### How it is used

In practice, users run the `mmseqs` executable as a suite of modules and workflows: creating MMseqs2 databases from FASTA or FASTQ, running `easy-search` for sequence search, `easy-cluster` for cascaded clustering, `easy-linclust` for larger datasets, converting alignment results, and using GPU-backed search modes where available. Its package-manager niche is scientific computing rather than general CLI tooling: Homebrew, Debian, Ubuntu, and Nix packages make a research-grade sequence analysis engine available to workstation and server users without building the full C++ stack by hand.

### Sources

- <https://academic.oup.com/bioinformatics/article/35/16/2856/5280135>
- <https://formulae.brew.sh/formula/mmseqs2>
- <https://github.com/soedinglab/MMseqs2>
- <https://github.com/soedinglab/MMseqs2/wiki>
- <https://www.nature.com/articles/nbt.3988>
- <https://www.nature.com/articles/s41467-018-04964-5>


## Security Notes

infrastructure mutation or orchestration signal.

- **Geiger risk:** orange / medium
- infrastructure mutation or orchestration signal

## Source Database Details

- **Source Database:** Homebrew formula API
- **Tap:** homebrew/core
- **Full Name:** mmseqs2
- **Version Scheme:** 0
- **Revision:** 0
- **Head Version:** HEAD
- **Bottle Stable Root URL:** <https://ghcr.io/v2/homebrew/core>
- **Deprecated:** no
- **Disabled:** no
- **Keg Only:** no
- **URL Keys:** head, stable

## Other Package-Manager Records

- Debian apt - mmseqs2 - 15-6f452+ds-2+b3: normalized package name match | Debian stable package indexes: mmseqs2 from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz | ultra fast and sensitive protein search and clustering | https://github.com/soedinglab/MMseqs2
- Debian apt - mmseqs2-examples - 15-6f452+ds-2: normalized package name match | Debian stable package indexes: mmseqs2-examples from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz | optional resources for the mmseqs2 package | https://github.com/soedinglab/MMseqs2
- Nix - mmseqs2: normalized package name match | nixpkgs package indexes: pkgs/by-name/mm/mmseqs2/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1
- Ubuntu apt - mmseqs2 - 15-6f452+ds-2: normalized package name match | Ubuntu 24.04 LTS package indexes: mmseqs2 from https://archive.ubuntu.com/ubuntu/dists/noble/universe/binary-amd64/Packages.gz | ultra fast and sensitive protein search and clustering | https://github.com/soedinglab/MMseqs2
- Ubuntu apt - mmseqs2-examples - 15-6f452+ds-2: normalized package name match | Ubuntu 24.04 LTS package indexes: mmseqs2-examples from https://archive.ubuntu.com/ubuntu/dists/noble/universe/binary-amd64/Packages.gz | optional resources for the mmseqs2 package | https://github.com/soedinglab/MMseqs2


## Related links

- [Secret-risk packages](https://www.automicvault.com/pkg/secret-risk-packages/) - Has protected-tool coverage, approval-gate, or non-low Geiger security signals.
- [Terminal utility packages](https://www.automicvault.com/pkg/terminal-utilities/) - Matched terminal and command-line workflow metadata.
- [Text processing packages](https://www.automicvault.com/pkg/text-processing-tools/) - Matched text, document, or structured-data processing metadata.
- [Networking and protocol packages](https://www.automicvault.com/pkg/networking-protocol-tools/) - Matched network, protocol, or remote-service metadata.
- [wget](https://www.automicvault.com/pkg/brew/wget/) - Runtime dependency declared by Homebrew.
- [cmake](https://www.automicvault.com/pkg/brew/cmake/) - Build dependency declared by Homebrew.
- [hmmer](https://www.automicvault.com/pkg/brew/hmmer/) - Shares av.db curated category or tags: bioinformatics, cli, science, sequence-analysis, sequence-search.
- [seqkit](https://www.automicvault.com/pkg/brew/seqkit/) - Shares av.db curated category or tags: bioinformatics, cli, science, sequence-analysis.
- [seqtk](https://www.automicvault.com/pkg/brew/seqtk/) - Shares av.db curated category or tags: bioinformatics, cli, science, sequence-analysis.
- [kraken2](https://www.automicvault.com/pkg/brew/kraken2/) - Shares av.db curated category or tags: bioinformatics, cli, metagenomics, science.
- [paml](https://www.automicvault.com/pkg/brew/paml/) - Shares av.db curated category or tags: bioinformatics, cli, protein-sequences, science.
- [ropebwt3](https://www.automicvault.com/pkg/brew/ropebwt3/) - Shares av.db curated category or tags: bioinformatics, cli, science, sequence-search.
- [skani](https://www.automicvault.com/pkg/brew/skani/) - Shares av.db curated category or tags: bioinformatics, cli, metagenomics, science.
- [spades](https://www.automicvault.com/pkg/brew/spades/) - Shares av.db curated category or tags: bioinformatics, cli, metagenomics, science.
- [kalign](https://www.automicvault.com/pkg/brew/kalign/) - Local package facts share a topical domain. Shared terms: analysis, bioinformatics, cli, fast, libomp.

## Combined YAML source

View the package source record on GitHub. [combined/mmseqs2.yml](https://github.com/automic-vault/db/blob/main/combined/mmseqs2.yml)


## Sources

- Nucleus package database
- Geiger risk classifier
- package-page enrichment
- curated package history
- package version freshness
- av.db category and tag curation
- package relationship graph
- external package-manager database matches
- cross-ecosystem install command graph
